Results 171 to 180 of about 10,369,018 (353)
Cognitive Behavioral Therapy for Youth with Childhood‐Onset Lupus: A Randomized Clinical Trial
Objective Our objective was to determine the feasibility and acceptability of the Treatment and Education Approach for Childhood‐onset Lupus (TEACH), a six‐session cognitive behavioral intervention addressing depressive, fatigue, and pain symptoms, delivered remotely to individual youth with lupus by a trained interventionist.
Natoshia R. Cunningham +29 more
wiley +1 more source
Objective We developed a novel EHR sidecar application to visualize key rheumatoid arthritis (RA) outcomes, including disease activity, physical function, and pain, via a patient‐facing graphical interface designed for use during outpatient visits (“RA PRO dashboard”).
Gabriela Schmajuk +16 more
wiley +1 more source
A deep reinforcement learning-based wireless body area network offloading optimization strategy for healthcare services [PDF]
Yingqun Chen +5 more
openalex +1 more source
A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam +2 more
wiley +1 more source
Deep Learning-Based Prediction of Key Performance Indicators for Electrical Machines [PDF]
Vivek Parekh +2 more
openalex +1 more source
Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning
Daniel S. Kermany +46 more
semanticscholar +1 more source
Deep learning in neural networks: An overview [PDF]
J. Schmidhuber
semanticscholar +1 more source
Workflow of the parameter optimization process for ITSC fault detection, applying Differential Evolution optimization and the Smooth Pseudo Wigner‐Ville Distribution for signal processing. The optimized parameters are then used in the failure identification pipeline, which combines the signal processing with a YOLO‐based architecture for fault severity
Rafael Martini Silva +4 more
wiley +1 more source
This study investigates the potential of open-source Large Language Models (LLMs) to enhance the accessibility and understanding of complex legal information.
Patricio Santiago Garcia-Montero +3 more
doaj +1 more source
Review on the Recent Welding Research with Application of CNN-Based Deep Learning Part I: Models and Applications [PDF]
Ki-Dong Lee +3 more
openalex +1 more source

